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Deployment with Docker

Deployment with Docker

By : Grubor
5 (1)
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Deployment with Docker

Deployment with Docker

5 (1)
By: Grubor

Overview of this book

Deploying Docker into production is considered to be one of the major pain points in developing large-scale infrastructures, and the documentation available online leaves a lot to be desired. With this book, you will learn everything you wanted to know to effectively scale your deployments globally and build a resilient, scalable, and containerized cloud platform for your own use. The book starts by introducing you to the containerization ecosystem with some concrete and easy-to-digest examples; after that, you will delve into examples of launching multiple instances of the same container. From there, you will cover orchestration, multi-node setups, volumes, and almost every relevant component of this new approach to deploying services. Using intertwined approaches, the book will cover battle-tested tooling, or issues likely to be encountered in real-world scenarios, in detail. You will also learn about the other supporting components required for a true PaaS deployment and discover common options to tie the whole infrastructure together. At the end of the book, you learn to build a small, but functional, PaaS (to appreciate the power of the containerized service approach) and continue to explore real-world approaches to implementing even larger global-scale services.
Table of Contents (10 chapters)
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Node automation


As we have worked on making Amazon Machine Images (AMIs) with Packer, we have seen what kind of thing we can do with pre-baked instance images, but their true power is only fully harnessed when the whole infrastructure is comprised of them. If your orchestration management nodes and worker nodes have their own system images, with a couple of startup scripts also baked-in though the init system (for example, systemd startup services), you can make instances launched with those images auto-join your cluster during boot in their predefined roles. Taking this further to a conceptual level, if we extract all stateful configuration into the image configurations and all dynamic configurations into a separate service accessible to all nodes such as EC2 user-data or HashiCorp Vault, your cluster will be almost fully self-configuring besides the initial deployment and image building.

By having this powerful auto-join capability, you are eliminating most of the manual work related to...

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Deployment with Docker
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